2

Remote Well Testing Operator Jobs in California (NOW HIRING)

Our teams work well because we place trust in them to succeed. We believe in healthy debate and ... Location The company has always operated as a fully remote team. As such, you should be comfortable ...

Lead Control System Engineer

Ripon, CA · Remote

$98K - $120K/hr

ICS is part of Cleanwater1 and through its various operating subsidiaries, is one of the most ... Perform code development, testing, validation, and documentation for automation and control systems.

SDET, Remote opportunity

Irvine, CA · On-site +1

$130K - $145K/yr

Ability to decompose work into well-structured prompts and agentic tasks, then critically review ... Experience testing complex multi-system integrations including mocking, contract testing, and test ...

Showing results 21-40

Remote Well Testing Operator information

What is the difference between Remote Well Testing Operator vs Remote Well Service Technician?

AspectRemote Well Testing OperatorRemote Well Service Technician
CertificationsWell Control, H2S, OSHAWell Control, H2S, OSHA
Work EnvironmentOffshore/onshore well sites, remote locationsOffshore/onshore well sites, remote locations
Job FocusMonitoring and testing well performanceMaintaining and repairing well equipment

The Remote Well Testing Operator and Remote Well Service Technician roles share similar certifications and work environments, often working on well sites in remote areas. However, the Testing Operator primarily focuses on monitoring and testing well performance, while the Service Technician handles maintenance and repairs. Both roles are essential in the oil and gas industry and often overlap in skills and certifications.

What are the most commonly searched types of Well Testing Operator jobs in California?

The most popular types of Well Testing Operator jobs in California are:

What are popular job titles related to Remote Well Testing Operator jobs in California?

For Remote Well Testing Operator jobs in California, the most frequently searched job titles are:

What job categories do people searching Remote Well Testing Operator jobs in California look for?

The top searched job categories for Remote Well Testing Operator jobs in California are:

What cities in California are hiring for Remote Well Testing Operator jobs?

Cities in California with the most Remote Well Testing Operator job openings:

Infographic showing various Remote Well Testing Operator job openings in California as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

Junior Computational Biologist (Remote)

Astrix Inc

South San Francisco, CA • On-site, Remote

$30 - $34/hr

Full-time

Re-posted 5 days ago


Job description

Pay Rate Low: 30 | Pay Rate High: 34
A leading biotechnology research organization is seeking a Junior Computational Biologist to support efforts in refining how cellular states are quantified and validated!
Title: Jr. Computational Biologist (Remote Contract)
Location: Remote (Must be available during PST business hours)
Compensation: $30-34/hour + benefits
Contract Duration: 6-12+ months
Job Duties:
This project will focus on benchmarking functional scoring methodologies and improving interpretability of high-dimensional transcriptomic datasets.
The selected candidate will contribute to distinguishing true biological signal from technical variation in large-scale single-cell atlases, directly enhancing the reliability of automated cell-state classification frameworks.
Start Date: July 1, 2026
  • Duration: Through December 18, 2026
  • Commitment: Full-time (100%)
  • Ideal Candidate: Upcoming June 2026 PhD graduate or recent PhD graduate
  • Location: Onsite in South San Francisco, CA preferred; remote within the U.S. considered (must work PST hours)
  • Visa Sponsorship: Not availabl

Key Responsibilities
  • Systematically evaluate and benchmark computational approaches for quantifying phenotype activation across single-cell transcriptomic datasets.
  • Establish rigorous statistical baselines and negative-control frameworks to improve the robustness of automated cell-state classification methods.
  • Develop or refine computational methods to address limitations in current approaches.
  • Design strategies to distinguish genuine biological signatures from stochastic or technical noise.
  • Present findings in internal scientific reviews and contribute to potential conference abstracts or peer-reviewed publications.

Required Qualifications
  • Extensive hands-on experience in single-cell data analysis using Scanpy, AnnData, and Pandas.
  • Strong proficiency implementing statistical and machine learning models using scikit-learn and SciPy.
  • Demonstrated commitment to reproducible research practices and well-organized code.
  • Ability to clearly communicate complex computational concepts to interdisciplinary scientific teams.
  • Master's degree with ongoing PhD pursuit, or recent PhD graduate, in Computational Biology, Computer Science, Machine Learning, or related quantitative discipline.
  • Interest in drug discovery and comfort working in dynamic, research-driven environments.

Preferred Qualifications
  • Background knowledge in cell biology and/or immunology.
  • Experience with hypothesis testing, noise modeling, and benchmarking computational tools.
  • Familiarity with Explainable AI (XAI) approaches or large-scale biological datasets.
  • Demonstrated ability to build or extend novel bioinformatics pipelines.
    INDBH
    #LI-MG1